In Singapore, exponential technologies flourish and forward-looking policies are being established to address development challenges

When we talk about the future of work, it is important to include perspectives, ideas and solutions from young people as they are the driving force that can shape the future. As we saw at the recent Youth Summit 2017, the younger, digitally-savvy generations —whether they are called Millennials, Gen Y, or Gen Z— shared solutions that helped tackle global challenges. The two-day event welcomed young people to discuss how to leverage technology and innovation for development impact. In this post, we interviewed —under a job-creation perspective—finalists of the summit's global competition.
The use of technology in Afghanistan’s government offices is not yet the norm. However, in the Directorate of Ministry of Finance (Mostofiat) in Kandahar Province, a province associated more with insecurity than with technology, we have used the power of technology to improve transparency and credibility of government offices.
Finance is the backbone of any country’s economy. Therefore, it is very important for it to be transparent and credible so that citizens as well as donors feel committed to the development process. With this in mind, we decided to implement the Afghanistan Financial Management Information System (AFMIS) and Standard Integrated Government Tax Administration System (SIGTAS), with the help of the Public Financial Management Reform (PFMR), a project implemented by the Ministry of Finance (MoF) with support from the Afghanistan Reconstruction Trust Fund (ARTF). SIGTAS was also supported through the ARTF Incentive Program.
Since 2007, when we started using AFMIS, we have been able to manage and execute budget-related activities, collect revenue, and pay salaries on time. A computerized system, AFMIS enables multiple users to access financial information and records, whenever and wherever they want. This was not possible with manual records.
For many Pacific Island countries, natural disasters such as cyclones and tsunamis, are an all-too common occurrence. Out of the top 15 most at-risk countries for natural disasters globally, four are Pacific Island countries, and Vanuatu is consistently at the top.
In 2015, Cyclone Pam hit Vanuatu, and knowing the extent of damage was vital for the government to identify and plan reconstruction needs. A team of Unmanned Aerial Vehicle (UAV) experts were sent out to quickly establish credible estimates of the damages and losses. Many damage reports were already available from the field, but with varying quality, and the challenge was to consolidate and verify them, within a very tight timeframe. Cloud cover also prevented us from getting satellite images, so we mobilized two UAV teams to fly below the clouds and capture high-resolution footage showing the impacts on the ground in the worst affected islands in Tafea and Shefa province.
Challenges continued throughout, from needing to coordinate airspace with those flying relief goods into affected areas, to transferring massive datasets over low internet bandwidths. But with team-effort and ingenuity, solutions were found; the UAV teams were able to capture valuable damage footage within sampled areas during the day, which were analysed overnight by volunteers of the Humanitarian Open Street Map (HOT) and the Digital Humanitarian Network; new workflows were developed to collate the data and to feed the outputs into the Post-Disaster Needs Assessment.
Joblessness among young Somali adults is a chronic issue confronting Somalia. Their unemployment rate is at staggering 67%. And the issue of youth joblessness is exacerbated by the large number of Somali students who graduate—from secondary schools and from tertiary organizations—with skills that are neither appropriate for Somalia nor competitive elsewhere.
Nonetheless, this aside, after almost three decades of turmoil—and of protracted conflict, terrorism, and piracy—Somalia is making huge entrepreneurial, socioeconomic, and political strides. This progress is encapsulated in a famous hashtag, popularized in 2017 and known as “#SomaliaRising.” In keeping with the spirit and momentum of this, we turned “Rising” into “iRise”—to demonstrate both how Somalis can improve narrative, and bring our innovative and entrepreneurship ingenuity into play.
Our brand name is a catalyst for this hashtag and aims to popularize the movement.
Reform communications explains and promotes reforms to all concerned audiences, and ensures consistency, balance, and participation, all the way from a reform’s design to its implementation. It can also make sure that audiences understand the reform, contribute to stakeholder inclusion, and hold the owners of the reform accountable.
What does that mean in a country like Somalia? More importantly, what does that mean for a country like Somalia right now?
The buzz around satellite imagery over the past few years has grown increasingly loud. Google Earth, drones, and microsatellites have grabbed headlines and slashed price tags. Urban planners are increasingly turning to remotely sensed data to better understand their city.
But just because we now have access to a wealth of high resolution images of a city does not mean we suddenly have insight into how that city functions.
The question remains:
In an effort a few years ago to map slums, the World Bank adopted an algorithm to create land cover classification layers in large African cities using very high resolution imagery (50cm). Building on the results and lessons learned, the team saw an opportunity in applying these methods to secondary cities in Latin America & the Caribbean (LAC), where data availability challenges were deep and urbanization pressures large. Several Latin American countries including Argentina, Bolivia, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama were faced with questions about the internal structure of secondary cities and had no data on hand to answer such questions.
A limited budget and a tight timeline pushed the team to assess the possibility of using lower resolution images compared to those that had been used for large African cities. Hence, the team embarked in the project to better understand the spatial layout of secondary cities by purchasing 1.5 meter SPOT6/7 imagery and using a semi-automated classification approach to determine what types of land cover could be successfully detected.
Originally developed by Graesser et al 2012 this approach trains (open source) algorithm to leverage both the spectral and texture elements of an image to identify such things as industrial parks, tightly packed small rooftops, vegetation, bare soil etc.
What do the maps look like? The figure below shows the results of a classification in Chinandega, Nicaragua. On the left hand side is the raw imagery and the resulting land cover map (i.e. classified layer) on the right. The land highlighted by purple shows the commercial and industrial buildings, while neighborhoods composed of smaller, possibly lower quality houses are shown in red, and neighborhoods with slightly larger more organized houses have been colored yellow. Lastly, vegetation is shown as green; bare soil, beige; and roads, gray.
Want to explore our maps? Download our data here. Click here for an interactive land cover map of La Ceiba.